# RSS & Atom Feed Reader with New-Items Monitor (`parth-tools/rss-feed-reader`) Actor

Read any RSS, Atom, RDF or JSON Feed — or just a website URL with feed auto-discovery — into clean JSON. Keyword & date filters, podcast enclosures, and a new-items-only mode for scheduled alerts. $0.30 per 1,000 items.

- **URL**: https://apify.com/parth-tools/rss-feed-reader.md
- **Developed by:** [Parth](https://apify.com/parth-tools) (community)
- **Categories:** News, Automation
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.30 / 1,000 feed items

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## RSS & Atom Feed Reader with New-Items Monitor

**Turn any RSS, Atom, RDF or JSON Feed into clean, structured JSON — and get only what's new on every scheduled run.** Paste feed URLs, or just a website/blog/news URL: the Actor **auto-discovers the feed**, parses it, normalizes dates to ISO 8601, and outputs one row per item with title, link, date, author, categories, summary, image, and podcast enclosure.

**$0.30 per 1,000 items.** No start fee. Feeds that fail are free.

### Why use it?

- 📰 **News & content monitoring** — track competitors' blogs, industry news, press releases, changelogs, job feeds
- 🔔 **Alerts** — schedule it every 15 minutes with *Only new items*, then connect Slack, email, Make, Zapier or n8n
- 🤖 **AI pipelines** — feed fresh articles into summarizers, newsletters or RAG indexes
- 🎙️ **Podcasts** — episode titles, dates, durations and audio enclosure URLs

### Features

- Supports **RSS 2.0, RSS 1.0 (RDF), Atom and JSON Feed**
- **Feed auto-discovery** from any web page (`<link rel="alternate">`, then `/feed`, `/rss.xml`, `/atom.xml`, `/index.xml`…)
- **New-items-only mode** remembers what was already returned per feed (named state store, so multiple monitors don't collide)
- Filters: **keywords**, **exclude keywords**, **published within N days**, **max items per feed**
- Optional full **content HTML** (`content:encoded` / Atom content)
- Podcast fields: enclosure URL/type/size, iTunes duration and image

### Input example

```json
{
    "feeds": [
        "https://hnrss.org/frontpage",
        "https://blog.apify.com",
        "https://www.theverge.com/rss/index.xml"
    ],
    "maxItemsPerFeed": 20,
    "publishedWithinDays": 7,
    "keywords": ["AI", "scraping"],
    "newItemsOnly": true
}
```

### Output example

```json
{
    "feedTitle": "Apify Blog",
    "feedUrl": "https://blog.apify.com/rss/",
    "siteUrl": "https://blog.apify.com/",
    "feedType": "rss",
    "guid": "6718a…",
    "title": "How to use MCP with Apify Actors",
    "link": "https://blog.apify.com/how-to-use-mcp/",
    "publishedAt": "2026-10-22T08:00:00.000Z",
    "author": "…",
    "categories": ["AI"],
    "summary": "Model Context Protocol lets AI agents …",
    "image": null,
    "enclosure": null,
    "fetchedAt": "2026-10-23T06:50:00.000Z"
}
```

### Pricing

| Event | Price | When |
|---|---|---|
| Feed item | **$0.0003** ($0.30 / 1,000 items) | Each item saved after filters |
| Actor start | $0.00005 | Once per run |

Filtered-out items, already-seen items (new-items mode) and failed feeds cost nothing. Example: monitoring 50 feeds every hour with ~2 new items per feed per day ≈ 3,000 items/month ≈ **$0.90/month** plus tiny start fees.

### FAQ

**How do I get alerts?** Enable *Only new items*, create a Schedule (e.g. every 30 minutes) and add an integration (Slack, email, webhook) on the Actor run.

**Can I monitor several groups of feeds separately?** Yes — use a different *State store name* for each task.

**Can it read feeds behind a login?** No, only publicly accessible feeds.

**What if a site has no feed?** You'll get a free error row. Try the Website to Markdown Crawler or a sitemap tool instead.

# Actor input Schema

## `feeds` (type: `array`):

RSS, Atom, RDF or JSON Feed URLs — or just a website/blog URL and the feed is auto-discovered (from \<link rel=alternate> or common paths like /feed, /rss.xml).

## `maxItemsPerFeed` (type: `integer`):

Newest items first. 0 = all items in the feed.

## `publishedWithinDays` (type: `integer`):

0 = no date filter.

## `keywords` (type: `array`):

Keep only items whose title, summary or categories contain any of these (case-insensitive).

## `excludeKeywords` (type: `array`):

Drop items containing any of these.

## `newItemsOnly` (type: `boolean`):

Remember items already returned (per feed) and output only new ones on later runs. Perfect for scheduled monitoring, Slack/email alerts and news pipelines.

## `stateStoreName` (type: `string`):

Named key-value store that remembers seen items. Use a different name per monitor.

## `includeContent` (type: `boolean`):

Add the item's full HTML content (content:encoded / Atom content) when the feed provides it.

## `discoverAllFeeds` (type: `boolean`):

When a website advertises several feeds (e.g. posts + comments), read all of them instead of only the first.

## `maxConcurrency` (type: `integer`):

Feeds fetched in parallel.

## Actor input object example

```json
{
  "feeds": [
    "https://hnrss.org/frontpage",
    "https://blog.apify.com",
    "https://www.theverge.com/rss/index.xml"
  ],
  "maxItemsPerFeed": 50,
  "publishedWithinDays": 0,
  "newItemsOnly": false,
  "stateStoreName": "rss-feed-reader-state",
  "includeContent": false,
  "discoverAllFeeds": false,
  "maxConcurrency": 5
}
```

# Actor output Schema

## `items` (type: `string`):

No description

## `all` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "feeds": [
        "https://hnrss.org/frontpage",
        "https://blog.apify.com",
        "https://www.theverge.com/rss/index.xml"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("parth-tools/rss-feed-reader").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "feeds": [
        "https://hnrss.org/frontpage",
        "https://blog.apify.com",
        "https://www.theverge.com/rss/index.xml",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("parth-tools/rss-feed-reader").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "feeds": [
    "https://hnrss.org/frontpage",
    "https://blog.apify.com",
    "https://www.theverge.com/rss/index.xml"
  ]
}' |
apify call parth-tools/rss-feed-reader --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,parth-tools/rss-feed-reader"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/22xl3DkoPeLGONrb9/builds/Nhr00T1L0QFeg5sqF/openapi.json